Top DevOps Jobs in Dublin

Support and scale Mastercard's Generative AI and Copilot platforms by building integrations, automation, MCP servers and connectors, troubleshooting, creating documentation, and enabling developers through training and reusable engineering solutions while ensuring security and reliability.

Support and scale Mastercard's Generative AI and Copilot platforms by building integrations, MCP servers, automation, and reusable components; troubleshoot and support developers; create documentation, training, and enablement materials; and promote secure, reliable platform adoption.

Support and scale Mastercard's Generative AI and Copilot platforms by building and maintaining integrations, MCP servers, connectors, and reusable components; troubleshoot and support developers using Copilot Studio; create and maintain technical documentation and enablement materials; drive adoption through training, automation, and self-service resources while ensuring security, reliability, and operational readiness.

Support and scale Mastercard's Generative AI and Copilot platforms by building integrations, MCP servers, connectors, automation, and reusable components. Provide Copilot Studio support, troubleshoot platform issues, create technical documentation and enablement content, and drive developer adoption, reliability, and secure operational readiness.

Engineer and support Mastercard's Generative AI and Copilot platforms by building integrations, MCP servers, connectors, automation, and reusable components; troubleshoot and assist developers, maintain documentation and enablement content, and promote secure, reliable adoption through training and self-service resources.

Support, scale, and govern Mastercard's Generative AI and Copilot platforms. Build integrations, MCP servers, connectors, and reusable automation. Troubleshoot platform issues, support developers using Copilot Studio, create and maintain technical documentation, and deliver developer enablement and training to drive enterprise AI adoption while following security and operational best practices.

Support and scale Mastercard's Generative AI and Copilot platforms by building integrations, automation, MCP servers and connectors, troubleshooting and supporting internal developers, creating documentation and enablement materials, and promoting secure, reliable platform adoption through training and reusable engineering solutions.

Support and scale Mastercard's Generative AI and Copilot platforms by building integrations, automation, MCP servers, troubleshooting, creating documentation, and enabling developers through training and reusable engineering components.

Support and scale Mastercard's Generative AI and Copilot platforms by building integrations, automation, MCP servers and connectors; provide Copilot Studio support; create documentation and training; improve developer experience, reliability, and adoption while following security and operational best practices.

Design scalable, highly available applications and infrastructure using MongoDB; advise customers on architecture, optimization, and business value; partner with sales teams on discovery, demos, proof of value, presentations, sizing, and deal execution; generate demand through technical initiatives and events; build customer champions; mentor colleagues; and maintain expertise in MongoDB, cloud, distributed systems, AI, and modern architecture patterns.

Lead design, develop, and deploy Java-based microservices for a high-traffic B2B payments platform. Apply 12-factor principles, cloud (AWS/Azure), CI/CD, containerization, and performance optimization. Collaborate with product, TPMs, and QA, perform code reviews, and ensure security and architecture compliance.

Lead design, develop, and deploy high-quality Java microservices following 12-factor principles. Collaborate with product, TPMs and test engineers across the SDLC, perform code reviews, support CI/CD, containerization, optimize performance and ensure compliance with security and architecture standards.

Lead design, develop, and deploy high-quality Java microservices for a scalable, cloud-ready B2B payments platform. Participate across the SDLC, perform code reviews, optimize performance, and collaborate with product, TPMs, and test engineers while ensuring security and enterprise standards.

Lead design, develop, and deploy scalable Java microservices for a global B2B payments platform. Collaborate with product, TPMs, and QA across the lifecycle, apply 12-factor and cloud-native principles, optimize performance and reliability, perform code reviews, and drive engineering best practices and compliance.

Lead design, development, and deployment of scalable Java microservices for a high-traffic B2B payments platform. Apply 12-factor principles, CI/CD, containers, cloud (AWS/Azure), and automated testing. Collaborate with product, TPMs, and QA; perform code reviews; ensure performance, security, and adherence to enterprise standards.

Lead pre-sales architecture for MongoDB Atlas and specialize in application search, including lexical and semantic search. Advise customers on scalable systems, conduct technical discovery, demos, proofs of value, presentations, sizing, and documentation, and support complex enterprise deal cycles. Enable other solution architects, mentor colleagues, relay customer feedback to Product Management, and influence Vector Search and AI/ML direction. The role is remote in Barcelona, Dublin, or London and requires approximately 25% travel.

Leads 2K’s global data engineering strategy, telemetry architecture, cloud infrastructure efficiency, ML Ops enablement, and proactive modeling capabilities. Oversees high-scale distributed data systems, streaming telemetry, feature pipelines, FinOps, and operational excellence. Builds partnerships across studios and executive teams while hiring, mentoring, and developing a world-class engineering organization.

Lead cloud security strategy for Data and AI/ML services on GCP. Assess technology controls and risks, advise teams on secure cloud architectures, review infrastructure-as-code, maintain security documentation, and collaborate with security operations, threat intelligence, IAM, and network security teams. The role also supports agile security initiatives, mentors junior engineers, and promotes secure and compliant public-cloud implementations.

Platform Engineer responsible for developing and improving self-service engineering platforms, CI frameworks, and continuous delivery capabilities. The role supports multiple development teams, integrates code quality and security practices, removes software delivery bottlenecks, and improves developer experience. Collaboration with software developers, QA engineers, and system architects is central. Requirements include at least two years of relevant experience, platform engineering or DevOps knowledge, debugging skills, branching methodology experience, fluent English, and a Computer Science degree or equivalent.

Designs scalable enterprise AI agents and agentic workflows, develops reusable architecture standards and governance frameworks, and translates business requirements into secure AI solutions. The role evaluates emerging AI platforms, supports testing and quality assurance, integrates data and enterprise systems, and collaborates with architects, engineers, security teams, and business stakeholders to deliver maintainable, compliant solutions.

Own the vision, strategy, roadmap, delivery, and operational performance of Primark’s integration platform. Lead API, gateway, and connectivity initiatives; manage prioritization, dependencies, incidents, controls, budgets, vendors, and resourcing. Partner with senior technology and business stakeholders to secure funding, drive adoption, and demonstrate ROI. The role requires deep platform expertise, executive communication, commercial management, and experience scaling secure, reliable integration ecosystems using Agile, DevOps, and CI/CD practices.

Lead and develop a high-performing sales and customer success enablement team across EMEA. Design, deliver, and optimize scalable training, coaching, curriculum, and learning programs for go-to-market teams. Partner with cross-functional leaders and subject matter experts to identify performance gaps, create targeted solutions, represent field needs, and measure business impact. Responsibilities include facilitating global training events, classroom sessions, e-learning, sales kickoffs, QBRs, and coaching programs.

Supports, troubleshoots, configures, and enhances Microsoft Dynamics 365 CE and Power Platform solutions. Responsibilities include maintaining Power Apps, Power Automate, Power BI, Dataverse, Azure integrations, and CRM modules; coordinating upgrades and deployments; managing ALM and DevOps processes; resolving incidents; and translating stakeholder requirements into technical specifications and change requests.

Leads platform-level execution of software and AI/ML systems across multiple teams. Oversees shared infrastructure, development tooling, DevOps, CI/CD, cloud cost optimization, architecture, and system integration. Manages the full software development lifecycle, tracks engineering metrics, mentors engineers and managers, and aligns technical priorities with business goals. The role supports scalable, secure, high-availability data and intelligence platforms while driving continuous improvement and operational efficiency.

Support and maintain developer desktop applications and tooling across Windows, macOS, and Linux. Manage installations, deployments, upgrades, releases, configurations, and tool lifecycle activities. Monitor platform health and usage, resolve complex issues, and act as an escalation point for engineering teams. Collaborate across organizational boundaries to deliver platform capabilities while applying cloud, CI/CD, DevOps, debugging, and AI-assisted development expertise.